Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
Estimation via sampling out of highly selective join queries is well known to be problematic, most notably in online aggregation. Without goal-directed sampling strategies, samples...
With the tremendous growth of system memories, memoryresident databases are increasingly becoming important in various domains. Newer memories provide a structured way of storing ...
Jayaprakash Pisharath, Alok N. Choudhary, Mahmut T...
Existing work on inference detection for database systems mainly employ functional dependencies in the database schema to detect inferences. It has been noticed that analyzing the...
Face recognition has established itself as an important subbranch of pattern recognition within the field of computer science. Many state-of-the-art systems have focused on the ta...